Get in Touch

Course Outline

Introduction

  • Understanding cloud vendor lock-in.
  • Clarifying multi-cloud versus hybrid cloud terminology.
  • Regulatory requirements for data sovereignty.
  • Benefits and challenges inherent in multi-cloud strategies.

Assessing Vendor Lock-in Risks

  • Proprietary services and APIs.
  • Data egress costs and constraints.
  • Evaluating technology dependencies.
  • Developing exit strategies.

Multi-Cloud Architecture Patterns

  • Cloud-agnostic design principles.
  • Strategies for workload portability.
  • Networking and connectivity in multi-cloud setups.
  • Utilizing service meshes for multi-cloud environments.

Containerization and Orchestration

  • Kubernetes as an abstraction layer.
  • Managing multiple clusters.
  • Container registry strategies.
  • Best practices for portability.

Infrastructure as Code

  • Using Terraform for multi-cloud provisioning.
  • Implementing policy as code with cloud-neutral tools.
  • Managing configuration drift.
  • GitOps workflows across cloud providers.

Data Sovereignty and Compliance

  • Controls for data residency.
  • Mechanisms for cross-border data transfers.
  • Compliance frameworks (such as GDPR).
  • Encryption and key management.

Security in Multi-Cloud Environments

  • Unified identity and access management.
  • Cross-cloud security monitoring.
  • Network segmentation strategies.
  • Incident response procedures across providers.

Cost Optimization and Governance

  • Tools for multi-cloud cost management.
  • Resource tagging and allocation.
  • Governance frameworks.
  • FinOps practices specific to multi-cloud.

Migration and Integration

  • Lift-and-shift versus re-architecture approaches.
  • Data migration strategies.
  • Application refactoring patterns.
  • Testing and validation methods.

Real-World Case Studies

  • Multi-cloud deployments in financial services.
  • Implementing data sovereignty in healthcare.
  • Government cloud usage scenarios.

Summary and Next Steps

Requirements

  • Fundamental knowledge of cloud computing concepts.
  • Familiarity with at least one major cloud provider (AWS, Azure, or GCP).
  • Understanding of containerization and Kubernetes basics.
  • Knowledge of networking and security fundamentals.

Target Audience

  • Cloud architects and engineers.
  • Solutions architects.
  • Infrastructure managers.
  • IT directors formulating cloud strategies.
  • Compliance and security officers.
 14 Hours

Number of participants


Price per participant

Testimonials (4)

Upcoming Courses

Related Categories